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2020 – today
- 2024
[c6]Camilo Chacón Sartori
, Christian Blum:
STNWeb for the Analysis of Optimization Algorithms: A Short Introduction. MIC (2) 2024: 367-372- [c5]Camilo Chacón Sartori, Christian Blum, Gabriela Ochoa:
An Extension of STNWeb Functionality: On the Use of Hierarchical Agglomerative Clustering as an Advanced Search Space Partitioning Strategy. GECCO 2024 - [c4]Camilo Chacón Sartori, Christian Blum, Gabriela Ochoa:
Large Language Models for the Automated Analysis of Optimization Algorithms. GECCO 2024 - [i2]Camilo Chacón Sartori, Christian Blum, Gabriela Ochoa:
Large Language Models for the Automated Analysis of Optimization Algorithms. CoRR abs/2402.08472 (2024) - [i1]Camilo Chacón Sartori, Christian Blum, Filippo Bistaffa, Guillem Rodríguez Corominas:
Metaheuristics and Large Language Models Join Forces: Towards an Integrated Optimization Approach. CoRR abs/2405.18272 (2024) - 2023
- [j1]Camilo Chacón Sartori, Christian Blum, Gabriela Ochoa:
STNWeb: A new visualization tool for analyzing optimization algorithms. Softw. Impacts 17: 100558 (2023) - [c3]Jairo Enrique Ramírez Sánchez, Camilo Chacón Sartori, Christian Blum:
Q-Learning Ant Colony Optimization supported by Deep Learning for Target Set Selection. GECCO 2023: 357-366 - [c2]Camilo Chacón Sartori, Christian Blum, Gabriela Ochoa:
Search Trajectory Networks Meet the Web: A Web Application for the Visual Comparison of Optimization Algorithms. ICSCA 2023: 89-96 - 2022
- [c1]Camilo Chacón Sartori, Christian Blum:
Boosting a Genetic Algorithm with Graph Neural Networks for Multi-Hop Influence Maximization in Social Networks. FedCSIS 2022: 363-371
Coauthor Index
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